2022
R-TeaFor: Regularized Teacher-Forcing for Abstractive Summarization
EMNLP 2022main
Teacher-forcing is widely used in training sequence generation models to improve sampling efficiency and to stabilize training. However, teacher-forcing is vulnerable to the exposure bias problem. Previous works have attempted to address exposure bias by modifying the training data to simulate model…